Modeling the nexus between carbon dioxide emissions and economic growth

Gao, Yang; Sun, Tao; Wang, Jianliang; Li, Xianneng

doi:10.1016/j.enpol.2015.06.031

Cited by 110 publications

(50 citation statements)

References 63 publications

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“…These contradictory results have led to a number of scholarly criticisms regarding EKC. For example, Yang, Sun, Wang, and Li (2015) have argued that the link built on the EKC hypothesis using a limited data set cannot be appropriate to develop a particular model because such models are applied worldwide. Another criticism of the EKC is the heterogeneity problem that can be easily recognised across the regions and countries through panel estimation and can be solved by using cointegration and unit-root tests (Apergis, 2016;Liu et al, 2019) However, models like the EKC fail to deal with such problems due to the nonlinearity (Gonzalez, Battles, Collins, Robards, & Saah, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Income inequality, innovation and carbon emission: Perspectives on sustainable growth

Mushtaq

Chen

Din

et al. 2020

Economic Research-Ekonomska Istraživanja

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The present study aims to investigate the impact of income inequality and economic growth on carbon dioxide (CO2) emission through the moderating role of innovation in China at national and regional levels. To test the hypothesised relationships, this study took the data from 1995 to 2015 and employed panel estimation. Findings of the whole analysis show that income inequality and economic growth influence CO2 emission in China. Moreover, technological innovation moderates the proposed link. However, the findings at the regional level are mixed, thus confirming the existence of regional differences. Policy implications are also discussed. ARTICLE HISTORY

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Section: Literature Reviewmentioning

confidence: 99%

Income inequality, innovation and carbon emission: Perspectives on sustainable growth

Mushtaq

Chen

Din

et al. 2020

Economic Research-Ekonomska Istraživanja

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“…Using the dynamic panel generalized method of moments technique, [18] showed the evidence of the EKC hypothesis for CO 2 emissions in a global data set, as well as for middle-income, and American and European countries. In [19], a symbolic regression model was utilized to investigate how the inclusion or exclusion of regions or countries could influence the relationship between CO 2 emissions and economic growth. The authors found that while the relationship generally followed monotonically increasing N-shaped and inverted U-shaped patterns in developed countries, the relationship was sporadic, ranging from M-shaped to inverted N-shaped, in countries in East Asia, Asia Pacific, the Caribbean, Latin America, and South Asia.…”

Section: A Brief Overview Of Empirical Ekc Literaturementioning

confidence: 99%

Incorporating Forests, Agriculture, and Energy Consumption in the Framework of the Environmental Kuznets Curve: A Dynamic Panel Data Approach

2019

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Based on country-specific panel data from 1990–2014 for 86 different countries, we quantify the effects of forests and agricultural land in CO2 emissions, using the framework of the Environmental Kuznets Curve (EKC). The results from the dynamic panel data method reveal that forests are an important determinant in reducing CO2 emissions globally, but the effects vary by region. All else constant, we estimate a 0.11% decline in CO2 emissions per 1% increase in the forest area globally. However, the agricultural sector is found to be a true CO2 emitter. Our study provides additional empirical evidence for the roles of forests in regulating atmospheric CO2, further reinforcing the importance of forests in global climate change policies.

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“…The first relies on cross-country panel data analysis (see, for instance, (Arouri et al, 2012;Jaunky, 2011;Narayan and Narayan, 2010;Narayan et al, 2016;Richmond and Kaufmann, 2006;Tsurumi and Managi, 2010a;Yang et al, 2015), whereas the other one relies on a single region time-series analysis (see, for instance, (Al-Mulali et al, 2015;Bölük and Mert, 2015;Iwata et al, 2010;Saboori and Sulaiman, 2013;Saboori et al, 2012a;Saboori et al, 2012b;Tutulmaz, 2015). In addition to the aforementioned methods, Halkos and Tsionas (2001) propose a cross-sectional data analysis by using the Markov chain Monte Carlo (MCMC) method to empirically find the existence of EKC by using switching regime models.…”

Section: Literature Reviewmentioning

confidence: 99%

The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy

2016

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There is an increasing interest in investigating the environmental Kuznets curve (EKC) hypothesis because it suggests the existence of a turning point in the economy that will lead to a sustainable development path. Although many studies have focused on the EKC, only a few empirical studies have focused on analyzing the EKC with specific reference to Indonesia, and none of them have examined the potential of renewable energy sources within the EKC framework. This study attempts to estimate the EKC in the case of Indonesia for the period of 1971-2010 by considering the role of renewable energy in electricity production, using the autoregressive distributed lag (ARDL) approach to cointegration as the estimation method. We found an inverted U-shaped EKC relationship between economic growth and CO2 emissions in the long run. The estimated turning point was found to be 7,729 USD per capita, which lies outside of our sample period. The beneficial impacts of renewable energy on CO2 emission reduction are observable both in the short run and in the long run. Our work has important implications both for policymakers and for the future development of renewable energy in Indonesia.

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Modeling the nexus between carbon dioxide emissions and economic growth

Cited by 110 publications

References 63 publications

Income inequality, innovation and carbon emission: Perspectives on sustainable growth

Income inequality, innovation and carbon emission: Perspectives on sustainable growth

Incorporating Forests, Agriculture, and Energy Consumption in the Framework of the Environmental Kuznets Curve: A Dynamic Panel Data Approach

The environmental Kuznets curve in Indonesia: Exploring the potential of renewable energy

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